Tag: SQL

SQL and SPL are both general-purpose processing technologies for structured data, and each has its own characteristics. Specifically, SQL is highly popularized and widely used, many users have a natural ability to query data with SQL, and it is easy for them to get started once the data engine supports SQL; it is relatively easy to migrate historical programs. SPL is concise and efficient, providing more agile syntax that can simplify complex calculations, while supporting the procedural computing and naturally supporting step-wise coding; the computing system of SPL is more open, making it possible to perform mixed computing for multiple data sources at the same time, and easily obtain higher computing performance with built-in high-performance storage and high-performance algorithms; it is more flexible to utilize, enabling it to be used independently or integrated into applications.

The function syntaxes of various types of databases are more or less different from each other. In order to make the SQL query statements of the same functionality be executed successfully in different types of databases, we need to translate these differentiated function syntaxes that are available in each database, and that is SQL migration. This article will explore several technologies for SQL migration and compare them in detail.

Data transposition aims to convert queried data into a specified format to display using front-end applications, such as reporting tools. There are row-to-column transposition, column-to-row transposition, and more complicated dynamic transposition. This essay focuses on solutions and basic principles of SQL and SPL, the two commonly used programming languages, in handling transposition scenarios, and tries to find the convenient and efficient way for you through sample programs in SQL and SPL.

Data transposition aims to convert queried data into a specified format to display using front-end applications, such as reporting tools. There are row-to-column transposition, column-to-row transposition, and more complicated dynamic transposition. This essay focuses on solutions and basic principles of SQL and SPL, the two commonly used programming languages, in handling transposition scenarios, and tries to find the convenient and efficient way for you through sample programs in SQL and SPL.

The join operation is used to combine records of two or more tables. This essay explains the handling of join operations using SQL and SPL. By exploring solutions and basic principles of the two commonly used programming languages and providing sample programs written in them, we try to find the faster and more efficient way for you.

The join operation is used to combine records of two or more tables. This essay explains the handling of join operations using SQL and SPL. By exploring solutions and basic principles of the two commonly used programming languages and providing sample programs written in them, we try to find a faster and more efficient way for you.

The join operation is used to combine records of two or more tables. This essay explains the handling of join operations using SQL and SPL. By exploring solutions and basic principles of the two commonly used programming languages and providing sample programs written in them, we try to find the faster and more efficient way for you.

Sometimes the order of members in an ordered data set is important, such as the scenario where each record is compared with its next neighbor and put them into the same group if they have same value for a specific field or if they satisfy the same condition(s). Examples include finding the maximum frequency of consecutive winning of the champion title and the largest number of days when temperature rises continuously in Beijing. They involve the order-based grouping. This essay explains the solutions and basic principles of SQL and SPL, two commonly used programming languages, for handling the order-based grouping scenarios, and offers the simpler and more efficient way through SQL and SPL sample programs.

The equi-grouping operations divides a data table according to same field values or expression results, while there are certain common grouping operations use special grouping conditions. Grouping customers according to the order of Beijing, Shanghai, Guangzhou and Shenzhen and calculate total sales amount in each group, and divide families into wealthy, well-off, comfortable, and poor according to the yearly income. This essay will explain the solutions and basic principles of SQL and SPL, the two commonly used programming languages, in dealing with this type of grouping scenarios, and find the simpler and more efficient way through sample programs.

A grouping operation puts members of same attribute in a set into same group. In an employee table grouped by department, each group of employees work in the same department. In a grouped sales table by the year, each group contains sales records of the same year. Both SQL and SPL are commonly used programming languages. In this essay, we’ll take a look at their solutions and basic principles in handling the grouping operations through sample programs, aiming to find the faster and more efficient way for you.